{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f0b56bc6",
   "metadata": {},
   "source": [
    "# MNIST 手写数字分类\n",
    "\n",
    "## 机器学习期末课程项目设计\n",
    "\n",
    "姓名：金昊\n",
    "\n",
    "班级：人工智能12002班\n",
    "\n",
    "学号：2025030203"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed03914",
   "metadata": {},
   "outputs": [],
   "source": [
    "## 环境配置\n",
    "#! conda create -n torch python=3.8\n",
    "#! conda install pytorch torchvision torchaudio cpuonly -c pytorch\n",
    "#! conda install numpy matplotlib "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0c2e27d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入 torch 库和 matplotlib 库\n",
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "from torch.utils.data import DataLoader\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "00a551a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<torch._C.Generator at 0x2219840dd70>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 设置相关参数\n",
    "n_epochs = 3            # 训练轮数\n",
    "batch_size_train = 64   # 训练集中每个批次的样本个数\n",
    "batch_size_test = 1000  # 测试集中每个批次的样本个数\n",
    "learning_rate = 0.01    # 学习率\n",
    "momentum = 0.5          # 动量，加速梯度下降的优化算法\n",
    "log_interval = 10       # 训练过程中的日志输出间隔\n",
    "random_seed = 1         # 随机种子设为 1，控制生成随机数的起始点\n",
    "torch.manual_seed(random_seed) # torch 手动设置随机种子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ea1f564d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建训练集和测试集的数据加载器，并获取一个批次的示例数据和目标标签。通过下载 MNIST 数据集进行训练\n",
    "train_loader = torch.utils.data.DataLoader(\n",
    "    torchvision.datasets.MNIST('./data/', train=True, download=True,\n",
    "                               transform=torchvision.transforms.Compose([\n",
    "                                   torchvision.transforms.ToTensor(),       # 将图像转换为张量\n",
    "                                   torchvision.transforms.Normalize(        # 归一化处理\n",
    "                                       (0.1307,), (0.3081,))\n",
    "                               ])),\n",
    "    batch_size=batch_size_train, shuffle=True)   # 指定每个批次中的样本数量；在每个epoch开始时对数据进行随机洗牌。\n",
    "\n",
    "test_loader = torch.utils.data.DataLoader(\n",
    "    torchvision.datasets.MNIST('./data/', train=False, download=True,\n",
    "                               transform=torchvision.transforms.Compose([\n",
    "                                   torchvision.transforms.ToTensor(),\n",
    "                                   torchvision.transforms.Normalize(\n",
    "                                       (0.1307,), (0.3081,))\n",
    "                               ])),\n",
    "    batch_size=batch_size_test, shuffle=True)\n",
    "\n",
    "examples = enumerate(test_loader)\n",
    "batch_idx, (example_data, example_targets) = next(examples)      # 获取下一个批次的数据。\n",
    "# 整段代码用于数据加载和获取一个批次的示例数据和目标标签，为后续的模型训练和测试准备数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d2803308",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()    # 使用 matplotlib 构建图像 2*3 的图像\n",
    "for i in range(6):\n",
    "    plt.subplot(2, 3, i + 1)\n",
    "    plt.tight_layout()\n",
    "    plt.imshow(example_data[i][0], cmap='gray', interpolation='none')\n",
    "    plt.title(\"Ground Truth: {}\".format(example_targets[i])) # 图片真实值和数字图片\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eb32a6ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 构建神经网络模型类\n",
    "class Net(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Net, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(1, 10, kernel_size=5)  # 两个卷积层\n",
    "        self.conv2 = nn.Conv2d(10, 20, kernel_size=5)\n",
    "        self.conv2_drop = nn.Dropout2d()    # 一个 dropout 层\n",
    "        self.fc1 = nn.Linear(320, 50)       # 两个全连接层\n",
    "        self.fc2 = nn.Linear(50, 10)\n",
    "\n",
    "    def forward(self, x):           # 定义前向传播，输入数据x经过卷积层、激活函数、池化层等操作，最后通过全连接层得到输出\n",
    "        x = F.relu(F.max_pool2d(self.conv1(x), 2))\n",
    "        x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2))\n",
    "        x = x.view(-1, 320)\n",
    "        x = F.relu(self.fc1(x))     # 在每个卷积层和全连接层之后都使用了ReLU激活函数进行非线性变换。\n",
    "        x = F.dropout(x, training=self.training)    # 在第一个全连接层之后使用了dropout操作，防止过拟合。\n",
    "        x = self.fc2(x)\n",
    "        return F.log_softmax(x, dim=1)    # 对输出进行log_softmax变换，得到预测的概率分布。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "50667ee9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.327796\n",
      "Train Epoch: 1 [640/60000 (1%)]\tLoss: 2.332293\n",
      "Train Epoch: 1 [1280/60000 (2%)]\tLoss: 2.287042\n",
      "Train Epoch: 1 [1920/60000 (3%)]\tLoss: 2.288348\n",
      "Train Epoch: 1 [2560/60000 (4%)]\tLoss: 2.260742\n",
      "Train Epoch: 1 [3200/60000 (5%)]\tLoss: 2.245166\n",
      "Train Epoch: 1 [3840/60000 (6%)]\tLoss: 2.224176\n",
      "Train Epoch: 1 [4480/60000 (7%)]\tLoss: 2.237711\n",
      "Train Epoch: 1 [5120/60000 (9%)]\tLoss: 2.207843\n",
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      "Train Epoch: 1 [6400/60000 (11%)]\tLoss: 2.076481\n",
      "Train Epoch: 1 [7040/60000 (12%)]\tLoss: 2.187288\n",
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      "\n",
      "Test set: Avg. loss: 0.1895, Accuracy: 9440/10000 (94%)\n",
      "\n",
      "Train Epoch: 1 [0/60000 (0%)]\tLoss: 0.339672\n",
      "Train Epoch: 1 [640/60000 (1%)]\tLoss: 0.425145\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 1 [44800/60000 (75%)]\tLoss: 0.353700\n",
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      "\n",
      "Test set: Avg. loss: 0.1267, Accuracy: 9614/10000 (96%)\n",
      "\n",
      "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.272079\n",
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      "\n",
      "Test set: Avg. loss: 0.0958, Accuracy: 9698/10000 (97%)\n",
      "\n",
      "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.507748\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 3 [28800/60000 (48%)]\tLoss: 0.266773\n",
      "Train Epoch: 3 [29440/60000 (49%)]\tLoss: 0.176241\n",
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      "Train Epoch: 3 [55040/60000 (92%)]\tLoss: 0.238489\n",
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      "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 0.159085\n",
      "Train Epoch: 3 [56960/60000 (95%)]\tLoss: 0.286285\n",
      "Train Epoch: 3 [57600/60000 (96%)]\tLoss: 0.259499\n",
      "Train Epoch: 3 [58240/60000 (97%)]\tLoss: 0.162840\n",
      "Train Epoch: 3 [58880/60000 (98%)]\tLoss: 0.143896\n",
      "Train Epoch: 3 [59520/60000 (99%)]\tLoss: 0.340799\n",
      "\n",
      "Test set: Avg. loss: 0.0785, Accuracy: 9756/10000 (98%)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "network = Net()    # 创建了神经网络模型类的实例\n",
    "optimizer = optim.SGD(network.parameters(), lr=learning_rate, momentum=momentum)\n",
    "# 定义了一个随机梯度下降（SGD）优化器对象optimizer。\n",
    "# network.parameters()用于获取网络模型中所有可训练参数的迭代器，这些参数将在优化过程中进行更新。\n",
    "# lr参数指定学习率，即每次更新时的步长大小。\n",
    "# momentum参数指定动量因子，用于加速训练过程。\n",
    "\n",
    "train_losses = []  # 保存训练过程中的损失值的列表。\n",
    "train_counter = [] # 记录训练集的样本数量，在画图时作为 x 轴。\n",
    "test_losses = []\n",
    "test_counter = [i * len(train_loader.dataset) for i in range(n_epochs + 1)] # 记录测试集的样本数量，计算累积样本数量\n",
    "\n",
    "# 定义训练函数，\n",
    "def train(epoch):\n",
    "    network.train()  # 将网络模型设置为训练模式\n",
    "    for batch_idx, (data, target) in enumerate(train_loader): # 获取批次的索引\n",
    "        optimizer.zero_grad()    # 将优化器中的梯度缓存置零，清除之前批次的梯度信息。\n",
    "        output = network(data)   # 将输入数据传递给网络模型，得到模型的输出。\n",
    "        loss = F.nll_loss(output, target) # 计算模型输出与目标标签之间的负对数似然损失。\n",
    "        loss.backward()    # 反向传播，计算模型参数的梯度。\n",
    "        optimizer.step()   # 根据梯度更新模型参数。\n",
    "        if batch_idx % log_interval == 0:\n",
    "            # 每隔 log_interval 批次打印一次打印训练过程的信息（当前训练的epoch、已处理的样本数、总样本数、完成百分比、当前损失值）\n",
    "            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(epoch, batch_idx * len(data),\n",
    "                                                                           len(train_loader.dataset),\n",
    "                                                                           100. * batch_idx / len(train_loader),\n",
    "                                                                           loss.item()))\n",
    "            train_losses.append(loss.item())  # 将当前批次的损失值添加到列表\n",
    "            train_counter.append((batch_idx * 64) + ((epoch - 1) * len(train_loader.dataset))) # 将当前批次的样本数量添加到列表\n",
    "            torch.save(network.state_dict(), './model.pth')       # 将当前模型的状态字典保存到 model.pth 文件\n",
    "            torch.save(optimizer.state_dict(), './optimizer.pth') # 将当前优化器的状态字典保存到 optimizer.pth 文件\n",
    "\n",
    "# 定义测试函数，评估网络模型在测试集上的性能 \n",
    "def test():\n",
    "    network.eval() # 将网络模型设置为评估模式\n",
    "    test_loss = 0  # 累计测试集上的损失值\n",
    "    correct = 0    # 记录正确分类的样本数量\n",
    "    with torch.no_grad(): # 禁用梯度计算，减少内存消耗并加速计算\n",
    "        for data, target in test_loader:\n",
    "            output = network(data)  # 将输入数据传递给网络模型，得到模型的输出。\n",
    "            test_loss += F.nll_loss(output, target, reduction='sum').item() # 累计批次的损失值。\n",
    "            pred = output.data.max(1, keepdim=True)[1]          # 确定每个样本预测的类别\n",
    "            correct += pred.eq(target.data.view_as(pred)).sum()  # 统计正确分类的样本数量。\n",
    "    test_loss /= len(test_loader.dataset)  # 计算平均测试损失值\n",
    "    test_losses.append(test_loss)          # 将当前测试的损失值添加到列表\n",
    "    print('\\nTest set: Avg. loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n",
    "        test_loss, correct, len(test_loader.dataset),\n",
    "        100. * correct / len(test_loader.dataset)))\n",
    "\n",
    "\n",
    "train(1)\n",
    "test()  # x 和 y 尺寸必须相同，否则后面画图会报错。\n",
    "\n",
    "for epoch in range(1, n_epochs + 1):\n",
    "    train(epoch) # 训练\n",
    "    test()       # 测试"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d3d060d9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'negative log likelihood loss')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用 matplotlib 进行绘图\n",
    "fig = plt.figure()\n",
    "plt.plot(train_counter, train_losses, color='blue') # 训练数和损失\n",
    "plt.scatter(test_counter, test_losses, color='red') # 测试数和损失\n",
    "plt.legend(['Train Loss', 'Test Loss'], loc='upper right')\n",
    "plt.xlabel('number of training examples seen')\n",
    "plt.ylabel('negative log likelihood loss')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e3730f97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在测试集加载一些图像显示\n",
    "examples = enumerate(test_loader)\n",
    "batch_idx, (example_data, example_targets) = next(examples)\n",
    "with torch.no_grad():\n",
    "    output = network(example_data)\n",
    "fig = plt.figure()\n",
    "for i in range(6):\n",
    "    plt.subplot(2, 3, i + 1)\n",
    "    plt.tight_layout()\n",
    "    plt.imshow(example_data[i][0], cmap='gray', interpolation='none')\n",
    "    plt.title(\"Prediction: {}\".format(output.data.max(1, keepdim=True)[1][i].item()))\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "48af0356",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.176623\n",
      "Train Epoch: 4 [640/60000 (1%)]\tLoss: 0.101813\n",
      "Train Epoch: 4 [1280/60000 (2%)]\tLoss: 0.270625\n",
      "Train Epoch: 4 [1920/60000 (3%)]\tLoss: 0.184162\n",
      "Train Epoch: 4 [2560/60000 (4%)]\tLoss: 0.277924\n",
      "Train Epoch: 4 [3200/60000 (5%)]\tLoss: 0.105108\n",
      "Train Epoch: 4 [3840/60000 (6%)]\tLoss: 0.244639\n",
      "Train Epoch: 4 [4480/60000 (7%)]\tLoss: 0.210342\n",
      "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 0.199541\n",
      "Train Epoch: 4 [5760/60000 (10%)]\tLoss: 0.654685\n",
      "Train Epoch: 4 [6400/60000 (11%)]\tLoss: 0.291971\n",
      "Train Epoch: 4 [7040/60000 (12%)]\tLoss: 0.253631\n",
      "Train Epoch: 4 [7680/60000 (13%)]\tLoss: 0.248495\n",
      "Train Epoch: 4 [8320/60000 (14%)]\tLoss: 0.126686\n",
      "Train Epoch: 4 [8960/60000 (15%)]\tLoss: 0.326985\n",
      "Train Epoch: 4 [9600/60000 (16%)]\tLoss: 0.272815\n",
      "Train Epoch: 4 [10240/60000 (17%)]\tLoss: 0.126370\n",
      "Train Epoch: 4 [10880/60000 (18%)]\tLoss: 0.182883\n",
      "Train Epoch: 4 [11520/60000 (19%)]\tLoss: 0.404063\n",
      "Train Epoch: 4 [12160/60000 (20%)]\tLoss: 0.154928\n",
      "Train Epoch: 4 [12800/60000 (21%)]\tLoss: 0.165684\n",
      "Train Epoch: 4 [13440/60000 (22%)]\tLoss: 0.205343\n",
      "Train Epoch: 4 [14080/60000 (23%)]\tLoss: 0.235324\n",
      "Train Epoch: 4 [14720/60000 (25%)]\tLoss: 0.159190\n",
      "Train Epoch: 4 [15360/60000 (26%)]\tLoss: 0.129252\n",
      "Train Epoch: 4 [16000/60000 (27%)]\tLoss: 0.400346\n",
      "Train Epoch: 4 [16640/60000 (28%)]\tLoss: 0.211280\n",
      "Train Epoch: 4 [17280/60000 (29%)]\tLoss: 0.219484\n",
      "Train Epoch: 4 [17920/60000 (30%)]\tLoss: 0.223200\n",
      "Train Epoch: 4 [18560/60000 (31%)]\tLoss: 0.227531\n",
      "Train Epoch: 4 [19200/60000 (32%)]\tLoss: 0.252850\n",
      "Train Epoch: 4 [19840/60000 (33%)]\tLoss: 0.196876\n",
      "Train Epoch: 4 [20480/60000 (34%)]\tLoss: 0.124011\n",
      "Train Epoch: 4 [21120/60000 (35%)]\tLoss: 0.224031\n",
      "Train Epoch: 4 [21760/60000 (36%)]\tLoss: 0.384059\n",
      "Train Epoch: 4 [22400/60000 (37%)]\tLoss: 0.200955\n",
      "Train Epoch: 4 [23040/60000 (38%)]\tLoss: 0.153697\n",
      "Train Epoch: 4 [23680/60000 (39%)]\tLoss: 0.149327\n",
      "Train Epoch: 4 [24320/60000 (41%)]\tLoss: 0.277213\n",
      "Train Epoch: 4 [24960/60000 (42%)]\tLoss: 0.242102\n",
      "Train Epoch: 4 [25600/60000 (43%)]\tLoss: 0.172409\n",
      "Train Epoch: 4 [26240/60000 (44%)]\tLoss: 0.314195\n",
      "Train Epoch: 4 [26880/60000 (45%)]\tLoss: 0.241517\n",
      "Train Epoch: 4 [27520/60000 (46%)]\tLoss: 0.313578\n",
      "Train Epoch: 4 [28160/60000 (47%)]\tLoss: 0.139001\n",
      "Train Epoch: 4 [28800/60000 (48%)]\tLoss: 0.325538\n",
      "Train Epoch: 4 [29440/60000 (49%)]\tLoss: 0.142077\n",
      "Train Epoch: 4 [30080/60000 (50%)]\tLoss: 0.132054\n",
      "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 0.126784\n",
      "Train Epoch: 4 [31360/60000 (52%)]\tLoss: 0.203746\n",
      "Train Epoch: 4 [32000/60000 (53%)]\tLoss: 0.284029\n",
      "Train Epoch: 4 [32640/60000 (54%)]\tLoss: 0.543832\n",
      "Train Epoch: 4 [33280/60000 (55%)]\tLoss: 0.134188\n",
      "Train Epoch: 4 [33920/60000 (57%)]\tLoss: 0.226201\n",
      "Train Epoch: 4 [34560/60000 (58%)]\tLoss: 0.276817\n",
      "Train Epoch: 4 [35200/60000 (59%)]\tLoss: 0.345924\n",
      "Train Epoch: 4 [35840/60000 (60%)]\tLoss: 0.243094\n",
      "Train Epoch: 4 [36480/60000 (61%)]\tLoss: 0.388578\n",
      "Train Epoch: 4 [37120/60000 (62%)]\tLoss: 0.219457\n",
      "Train Epoch: 4 [37760/60000 (63%)]\tLoss: 0.179519\n",
      "Train Epoch: 4 [38400/60000 (64%)]\tLoss: 0.551227\n",
      "Train Epoch: 4 [39040/60000 (65%)]\tLoss: 0.289595\n",
      "Train Epoch: 4 [39680/60000 (66%)]\tLoss: 0.216447\n",
      "Train Epoch: 4 [40320/60000 (67%)]\tLoss: 0.209100\n",
      "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.262169\n",
      "Train Epoch: 4 [41600/60000 (69%)]\tLoss: 0.295650\n",
      "Train Epoch: 4 [42240/60000 (70%)]\tLoss: 0.083798\n",
      "Train Epoch: 4 [42880/60000 (71%)]\tLoss: 0.216492\n",
      "Train Epoch: 4 [43520/60000 (72%)]\tLoss: 0.145956\n",
      "Train Epoch: 4 [44160/60000 (74%)]\tLoss: 0.238849\n",
      "Train Epoch: 4 [44800/60000 (75%)]\tLoss: 0.171949\n",
      "Train Epoch: 4 [45440/60000 (76%)]\tLoss: 0.137726\n",
      "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.182449\n",
      "Train Epoch: 4 [46720/60000 (78%)]\tLoss: 0.260083\n",
      "Train Epoch: 4 [47360/60000 (79%)]\tLoss: 0.374765\n",
      "Train Epoch: 4 [48000/60000 (80%)]\tLoss: 0.332183\n",
      "Train Epoch: 4 [48640/60000 (81%)]\tLoss: 0.198928\n",
      "Train Epoch: 4 [49280/60000 (82%)]\tLoss: 0.176940\n",
      "Train Epoch: 4 [49920/60000 (83%)]\tLoss: 0.242770\n",
      "Train Epoch: 4 [50560/60000 (84%)]\tLoss: 0.172053\n",
      "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.081780\n",
      "Train Epoch: 4 [51840/60000 (86%)]\tLoss: 0.174158\n",
      "Train Epoch: 4 [52480/60000 (87%)]\tLoss: 0.141328\n",
      "Train Epoch: 4 [53120/60000 (88%)]\tLoss: 0.234812\n",
      "Train Epoch: 4 [53760/60000 (90%)]\tLoss: 0.226735\n",
      "Train Epoch: 4 [54400/60000 (91%)]\tLoss: 0.214428\n",
      "Train Epoch: 4 [55040/60000 (92%)]\tLoss: 0.455860\n",
      "Train Epoch: 4 [55680/60000 (93%)]\tLoss: 0.214937\n",
      "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.338102\n",
      "Train Epoch: 4 [56960/60000 (95%)]\tLoss: 0.285337\n",
      "Train Epoch: 4 [57600/60000 (96%)]\tLoss: 0.133712\n",
      "Train Epoch: 4 [58240/60000 (97%)]\tLoss: 0.158788\n",
      "Train Epoch: 4 [58880/60000 (98%)]\tLoss: 0.195263\n",
      "Train Epoch: 4 [59520/60000 (99%)]\tLoss: 0.316189\n",
      "\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 5 [44800/60000 (75%)]\tLoss: 0.259781\n",
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      "\n",
      "Test set: Avg. loss: 0.0688, Accuracy: 9788/10000 (98%)\n",
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      "\n",
      "Test set: Avg. loss: 0.0634, Accuracy: 9801/10000 (98%)\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 7 [28800/60000 (48%)]\tLoss: 0.203366\n",
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      "Train Epoch: 7 [51840/60000 (86%)]\tLoss: 0.199994\n",
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      "Train Epoch: 7 [54400/60000 (91%)]\tLoss: 0.149389\n",
      "Train Epoch: 7 [55040/60000 (92%)]\tLoss: 0.203507\n",
      "Train Epoch: 7 [55680/60000 (93%)]\tLoss: 0.109852\n",
      "Train Epoch: 7 [56320/60000 (94%)]\tLoss: 0.144423\n",
      "Train Epoch: 7 [56960/60000 (95%)]\tLoss: 0.287418\n",
      "Train Epoch: 7 [57600/60000 (96%)]\tLoss: 0.383852\n",
      "Train Epoch: 7 [58240/60000 (97%)]\tLoss: 0.181169\n",
      "Train Epoch: 7 [58880/60000 (98%)]\tLoss: 0.400480\n",
      "Train Epoch: 7 [59520/60000 (99%)]\tLoss: 0.086551\n",
      "\n",
      "Test set: Avg. loss: 0.0587, Accuracy: 9813/10000 (98%)\n",
      "\n",
      "Train Epoch: 8 [0/60000 (0%)]\tLoss: 0.138265\n",
      "Train Epoch: 8 [640/60000 (1%)]\tLoss: 0.181560\n",
      "Train Epoch: 8 [1280/60000 (2%)]\tLoss: 0.065153\n",
      "Train Epoch: 8 [1920/60000 (3%)]\tLoss: 0.307540\n",
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      "Train Epoch: 8 [3200/60000 (5%)]\tLoss: 0.285455\n",
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      "Train Epoch: 8 [6400/60000 (11%)]\tLoss: 0.231751\n",
      "Train Epoch: 8 [7040/60000 (12%)]\tLoss: 0.225021\n",
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      "Train Epoch: 8 [8320/60000 (14%)]\tLoss: 0.132982\n",
      "Train Epoch: 8 [8960/60000 (15%)]\tLoss: 0.128792\n",
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      "Train Epoch: 8 [14080/60000 (23%)]\tLoss: 0.369511\n",
      "Train Epoch: 8 [14720/60000 (25%)]\tLoss: 0.182499\n",
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      "Train Epoch: 8 [44160/60000 (74%)]\tLoss: 0.176821\n",
      "Train Epoch: 8 [44800/60000 (75%)]\tLoss: 0.058058\n",
      "Train Epoch: 8 [45440/60000 (76%)]\tLoss: 0.174402\n",
      "Train Epoch: 8 [46080/60000 (77%)]\tLoss: 0.189117\n",
      "Train Epoch: 8 [46720/60000 (78%)]\tLoss: 0.145918\n",
      "Train Epoch: 8 [47360/60000 (79%)]\tLoss: 0.166028\n",
      "Train Epoch: 8 [48000/60000 (80%)]\tLoss: 0.196782\n",
      "Train Epoch: 8 [48640/60000 (81%)]\tLoss: 0.074896\n",
      "Train Epoch: 8 [49280/60000 (82%)]\tLoss: 0.208643\n",
      "Train Epoch: 8 [49920/60000 (83%)]\tLoss: 0.156379\n",
      "Train Epoch: 8 [50560/60000 (84%)]\tLoss: 0.275111\n",
      "Train Epoch: 8 [51200/60000 (85%)]\tLoss: 0.566843\n",
      "Train Epoch: 8 [51840/60000 (86%)]\tLoss: 0.222440\n",
      "Train Epoch: 8 [52480/60000 (87%)]\tLoss: 0.106821\n",
      "Train Epoch: 8 [53120/60000 (88%)]\tLoss: 0.159488\n",
      "Train Epoch: 8 [53760/60000 (90%)]\tLoss: 0.137998\n",
      "Train Epoch: 8 [54400/60000 (91%)]\tLoss: 0.191098\n",
      "Train Epoch: 8 [55040/60000 (92%)]\tLoss: 0.089096\n",
      "Train Epoch: 8 [55680/60000 (93%)]\tLoss: 0.119840\n",
      "Train Epoch: 8 [56320/60000 (94%)]\tLoss: 0.040349\n",
      "Train Epoch: 8 [56960/60000 (95%)]\tLoss: 0.155751\n",
      "Train Epoch: 8 [57600/60000 (96%)]\tLoss: 0.081966\n",
      "Train Epoch: 8 [58240/60000 (97%)]\tLoss: 0.126811\n",
      "Train Epoch: 8 [58880/60000 (98%)]\tLoss: 0.145708\n",
      "Train Epoch: 8 [59520/60000 (99%)]\tLoss: 0.045448\n",
      "\n",
      "Test set: Avg. loss: 0.0558, Accuracy: 9826/10000 (98%)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 加载之前保存的模型和优化器，继续训练和测试。\n",
    "continued_network = Net()\n",
    "continued_optimizer = optim.SGD(network.parameters(), lr=learning_rate, momentum=momentum)\n",
    "\n",
    "network_state_dict = torch.load('model.pth')          # 加载之前保存的网络模型的状态字典。\n",
    "continued_network.load_state_dict(network_state_dict) # 将加载的状态字典应用到新创建的网络模型中，恢复之前训练的参数。\n",
    "optimizer_state_dict = torch.load('optimizer.pth')    # 优化器\n",
    "continued_optimizer.load_state_dict(optimizer_state_dict)\n",
    "\n",
    "# 由于 n_epochs=3，训练时设置了 [1, n_epochs + 1)，此时要从 4 开始\n",
    "for i in range(4, 9):\n",
    "    test_counter.append(i*len(train_loader.dataset))  # 将当前epoch对应的训练步数添加到列表中，并且继续训练和测试。\n",
    "    train(i)\n",
    "    test()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3a297de5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用 matplotlib 进行绘图\n",
    "fig = plt.figure()\n",
    "plt.plot(train_counter, train_losses, color='blue')\n",
    "plt.scatter(test_counter, test_losses, color='red')\n",
    "plt.legend(['Train Loss', 'Test Loss'], loc='upper right')\n",
    "plt.xlabel('number of training examples seen')\n",
    "plt.ylabel('negative log likelihood loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a743541f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Net(\n",
       "  (conv1): Conv2d(1, 10, kernel_size=(5, 5), stride=(1, 1))\n",
       "  (conv2): Conv2d(10, 20, kernel_size=(5, 5), stride=(1, 1))\n",
       "  (conv2_drop): Dropout2d(p=0.5, inplace=False)\n",
       "  (fc1): Linear(in_features=320, out_features=50, bias=True)\n",
       "  (fc2): Linear(in_features=50, out_features=10, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建模型实例\n",
    "model = Net()\n",
    "\n",
    "# 加载模型权重\n",
    "model.load_state_dict(torch.load(\"model.pth\"))\n",
    "\n",
    "# 设置模型为评估模式\n",
    "model.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1caaa643",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 自定义图片和真实值\n",
    "images = [Image.open(f\"./data/numbers/{i}.png\") for i in range(0,10)]\n",
    "titles = [f'Ground Truth: {i}' for i in range(0,10)]\n",
    "\n",
    "# 创建2x5的子图网格\n",
    "fig, axes = plt.subplots(2, 5, figsize=(10, 4))\n",
    "\n",
    "# 展示每个图像\n",
    "for i in range(2):\n",
    "    for j in range(5):\n",
    "        # 获取当前子图的轴对象\n",
    "        ax = axes[i, j]\n",
    "        \n",
    "        # 获取当前图像的数据\n",
    "        image_data = images[i*5 + j]\n",
    "        title = titles[i*5 + j]\n",
    "        \n",
    "        # 在当前子图中展示图像\n",
    "        ax.imshow(image_data, cmap='gray')\n",
    "        ax.set_title(title)\n",
    "        ax.axis('off')\n",
    "\n",
    "# 调整子图之间的间距\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图像\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "74a1b382",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载自定义图片\n",
    "images = [Image.open(f\"./data/numbers/{i}.png\") for i in range(0,10)]\n",
    "\n",
    "# 图片预处理\n",
    "transform = transforms.Compose([\n",
    "    transforms.Grayscale(num_output_channels=1),  # 转换为灰度图像\n",
    "    transforms.Resize((28, 28)),  # 调整大小为28x28\n",
    "    transforms.ToTensor(),  # 转换为张量\n",
    "    transforms.Normalize((0.5,), (0.5,))  # 归一化\n",
    "])\n",
    "\n",
    "image_list = []\n",
    "for image in images:\n",
    "    image = transform(image)\n",
    "    image_list.append(image.unsqueeze(0))  # 添加一个维度，适应模型输入格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ef675ee0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "预测结果： 0\n",
      "预测结果： 1\n",
      "预测结果： 2\n",
      "预测结果： 3\n",
      "预测结果： 4\n",
      "预测结果： 5\n",
      "预测结果： 6\n",
      "预测结果： 7\n",
      "预测结果： 8\n",
      "预测结果： 9\n"
     ]
    }
   ],
   "source": [
    "# 预测\n",
    "result = []\n",
    "for image in image_list:\n",
    "    with torch.no_grad():\n",
    "        output = model(image)\n",
    "\n",
    "    # 获取预测结果\n",
    "    _, predicted = torch.max(output, 1)\n",
    "    predicted_class = predicted.item()\n",
    "    result.append(predicted_class)\n",
    "\n",
    "for i in result:\n",
    "    print(\"预测结果：\", i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6c1ddc5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 自定义图片和真实值\n",
    "images = [Image.open(f\"./data/numbers/{i}.png\") for i in range(0,10)]\n",
    "raw = [f'Ground Truth: {i}' for i in range(0,10)]\n",
    "pre = [f'Predicted Value: {k}' for k in result]\n",
    "titles = [raw[i]+'\\n'+pre[i] for i in range(10)]\n",
    "\n",
    "# 创建2x5的子图网格\n",
    "fig, axes = plt.subplots(2, 5, figsize=(10, 4))\n",
    "\n",
    "# 展示每个图像\n",
    "for i in range(2):\n",
    "    for j in range(5):\n",
    "        # 获取当前子图的轴对象\n",
    "        ax = axes[i, j]\n",
    "        \n",
    "        # 获取当前图像的数据\n",
    "        image_data = images[i*5 + j]\n",
    "        title = titles[i*5 + j]\n",
    "        \n",
    "        # 在当前子图中展示图像，真实值和预测值\n",
    "        ax.imshow(image_data, cmap='gray')\n",
    "        ax.set_title(title)\n",
    "        ax.axis('off')\n",
    "\n",
    "# 调整子图之间的间距\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图像\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "17890f30",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The final score: 0.09999999999999999 (10*1%=10%)\n"
     ]
    }
   ],
   "source": [
    "score = 0\n",
    "for i in range(0,10):\n",
    "    if result[i] == i:\n",
    "        score += 0.01\n",
    "print(f\"The final score: {score} (10*1%=10%)\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
